‘Overhyped’ generative AI will get a ‘cold shower’ in 2024, analysts predict
‘Overhyped’ generative AI will get a ‘cold shower’ in 2024, analysts predict
Analyst firm CCS Insight predicts generative AI will get a "cold shower" in 2024 as concerns over growing costs replace the "hype" surrounding the technology.
‘Overhyped’ generative AI will get a ‘cold shower’ in 2024, analysts predict::Analyst firm CCS Insight predicts generative AI will get a "cold shower" in 2024 as concerns over growing costs replace the "hype" surrounding the technology.
Honest title: lazy analyst pretends to be smart recycling an overused Gartner graph
an overhyped thing won't be as hyped in the near future?
who would've thunk
We're getting customers that want to use LLMs to query databases and such. And I fully expect that to work well 95% of the time, but not always, while looking like it always works correctly. And then you can tell customers a hundred times that it's not 100% reliable, they'll forget.
So, at some point, that LLM will randomly run a complete non-sense query, returning data that's so wildly wrong that the customers notice. And precisely that is the moment when they'll realize, holy crap, this thing isn't always reliable?! It's been telling us inaccurate information 5% of the usages?! Why did no one inform us?!?!?!
And then we'll tell them that we did inform them and no, it cannot be fixed. Then the project will get cancelled and everyone lived happily ever after.
Or something. Can't wait to see it.
Would you trust a fresh out of college intern to do it? That's been my metric for relying on LLM's
Yup this is the way to think about LLMs, infinite eager interns willing to try anything and never trusting themselves to say "I dont know"
It might actually help the intern if they use it:
You’re right but it’s worse than that. I have been in the game for decades. One bum formula and the whole platform loses credibility. There isn’t a customer on the planet who’ll look at us as 5%.
Seeing people say they’re saving lots of time with LLMs makes me wonder how much menial busywork other people do relative to myself. I find so few things in my day where using these tools wouldn’t just make me a babysitter for a dumb machine.
It’s great for programming and writing formal messages. I never know where to get started on messages so I give the AI a summary of what I’m trying to say. That gives me a very wordy base to edit to my liking.
It's great for writing latex.
latexify sum i=0 to n ( x_i dot (nabla f(x)) x e_r) = 0\[ \sum_{i=0}^{n} \left( x_i \cdot (\nabla f(x)) \times e_r \right) = 0 \]Also great at postioning images and fixing weird layout issues.
You don't need a LLM for converting pseudo code to Latex. LLMs surely help at programming (in my experience), but I feel like your example is really giving them justice :p
Yeah... as a Product Manager, dealing with a lot of text based tasks, I really expected to find it more useful than I actually have. I've not really been able to use it for writing documentation and sending emails, because it matters to me what is in those and I have something I want to say in them.
The only way I could really consider offloading these tasks to AI is if I just stopped caring what went in them.
Depends on what you do. I personally use LLMs to write preliminary code and do cheap world building for d&d. Saves me a ton of time. My brother uses it at a medium-sized business to write performance evaluations... which is actually funny to see how his queries are set up. It's basically the employee's name, job title, and three descriptors. He can do in 20 minutes what used to take him all day.
I use them to make worksheets for middle school students and to quickly write lesson plans from ideas.
I use AI all the time in my work. With one of my tools I can type in a script and have a fully-acted, fully-voiced virtual instructor added to the training we create. Saves us massively in both time and money and increases engagement.
This is how AI will truly sweep through the market. Small improvements, incrementally developed upon, just like every other technology. White collar workers will be impacted first, with blue collar workers second, as the technology continues to develop.
My friend is an AI researcher as part of his overarching role as an analyst for a massive insurance company, and they're developing their own internal LLM. The things AI can do will be absolutely market-shattering over time.
Anyone suggesting AI is just a fad/blip is about as naive as someone saying that about the internet in 1994, in my view.
In the mean time, I'm using chat gpt at work every day now and I'm able to work much faster because of it.
To me it's next generation search engine. For tech queries it's correct a lot.
Pretty much every tech question I ask it it just refers the answer to the "Your IT Administrator" which isn't helpful.
Unfortunately that hasn't been my experience, but I'm only using it to find answers for things a couple ddg queries won't solve because traditional search engines are so much faster
Yeah I think it depends so much on context. For my tech queries it's usually spot on.
I'm finding it useful for detecting / correcting really simple mistakes, syntax errors and stuff like that.
But I'm finding it mostly useless for anything more complicated.
I’m an analyst too, and I analyse that you’re gonna go fuck yourself.